remove-small-objects

remove_small_objects

skimage.morphology.remove_small_objects(ar, min_size=64, connectivity=1, in_place=False) [source]

Remove connected components smaller than the specified size.

Parameters:	ar : ndarray (arbitrary shape, int or bool type) The array containing the connected components of interest. If the array type is int, it is assumed that it contains already-labeled objects. The ints must be non-negative. min_size : int, optional (default: 64) The smallest allowable connected component size. connectivity : int, {1, 2, ..., ar.ndim}, optional (default: 1) The connectivity defining the neighborhood of a pixel. in_place : bool, optional (default: False) If True, remove the connected components in the input array itself. Otherwise, make a copy.
Returns:	out : ndarray, same shape and type as input ar The input array with small connected components removed.
Raises:	TypeError If the input array is of an invalid type, such as float or string. ValueError If the input array contains negative values.

Examples

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>>> from skimage import morphology >>> a = np.array([[0, 0, 0, 1, 0], ...               [1, 1, 1, 0, 0], ...               [1, 1, 1, 0, 1]], bool) >>> b = morphology.remove_small_objects(a, 6) >>> b array([[False, False, False, False, False],        [ True,  True,  True, False, False],        [ True,  True,  True, False, False]], dtype=bool) >>> c = morphology.remove_small_objects(a, 7, connectivity=2) >>> c array([[False, False, False,  True, False],        [ True,  True,  True, False, False],        [ True,  True,  True, False, False]], dtype=bool) >>> d = morphology.remove_small_objects(a, 6, in_place=True) >>> d is a True